OpenAlex Citation Counts

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OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

Prediction of cryptocurrency returns using machine learning
Erdinç Akyıldırım, Ahmet Göncü, Ahmet Şensoy
Annals of Operations Research (2020) Vol. 297, Iss. 1-2, pp. 3-36
Closed Access | Times Cited: 191

Showing 1-25 of 191 citing articles:

On technical trading and social media indicators for cryptocurrency price classification through deep learning
Marco Ortu, Nicola Uras, Claudio Conversano, et al.
Expert Systems with Applications (2022) Vol. 198, pp. 116804-116804
Open Access | Times Cited: 70

Implications of cryptocurrency energy usage on climate change
Dongna Zhang, Xihui Haviour Chen, Chi Keung Marco Lau, et al.
Technological Forecasting and Social Change (2022) Vol. 187, pp. 122219-122219
Open Access | Times Cited: 69

Deep learning-based exchange rate prediction during the COVID-19 pandemic
Mohammad Zoynul Abedin, Mahmudul Hasan, M. Kabir Hassan, et al.
Annals of Operations Research (2021)
Open Access | Times Cited: 86

Herding and feedback trading in cryptocurrency markets
Timothy King, Dimitrios Koutmos
Annals of Operations Research (2021) Vol. 300, Iss. 1, pp. 79-96
Open Access | Times Cited: 79

Is Bitcoin a better portfolio diversifier than gold? A copula and sectoral analysis for China
Kim Hung Pho, Sel Ly, Richard Lu, et al.
International Review of Financial Analysis (2021) Vol. 74, pp. 101674-101674
Closed Access | Times Cited: 63

Forecasting mid-price movement of Bitcoin futures using machine learning
Erdinc Akyildirim, Oğuzhan Çepni, Shaen Corbet, et al.
Annals of Operations Research (2021) Vol. 330, Iss. 1-2, pp. 553-584
Open Access | Times Cited: 62

How cryptocurrency affects economy? A network analysis using bibliometric methods
Yue Yao, Xuerong Li, Dingxuan Zhang, et al.
International Review of Financial Analysis (2021) Vol. 77, pp. 101869-101869
Closed Access | Times Cited: 61

Nonlinear nexus between cryptocurrency returns and COVID-19 news sentiment
Ameet Kumar Banerjee, Md Akhtaruzzaman, Andreia Dionísio, et al.
Journal of Behavioral and Experimental Finance (2022) Vol. 36, pp. 100747-100747
Open Access | Times Cited: 47

Past, present, and future of the application of machine learning in cryptocurrency research
Yi‐Shuai Ren, Chaoqun Ma, Xiaolin Kong, et al.
Research in International Business and Finance (2022) Vol. 63, pp. 101799-101799
Open Access | Times Cited: 46

Multivariate cryptocurrency prediction: comparative analysis of three recurrent neural networks approaches
Seng Hansun, Arya Wicaksana, A.Q.M. Khaliq
Journal Of Big Data (2022) Vol. 9, Iss. 1
Open Access | Times Cited: 44

Which factors drive Bitcoin volatility: Macroeconomic, technical, or both?
Jiqian Wang, Feng Ma, Elie Bouri, et al.
Journal of Forecasting (2022) Vol. 42, Iss. 4, pp. 970-988
Closed Access | Times Cited: 41

Forecasting cryptocurrency prices using Recurrent Neural Network and Long Short-term Memory
I. Nasirtafreshi
Data & Knowledge Engineering (2022) Vol. 139, pp. 102009-102009
Closed Access | Times Cited: 39

Explainable artificial intelligence for crypto asset allocation
Golnoosh Babaei, Paolo Giudici, Emanuela Raffinetti
Finance research letters (2022) Vol. 47, pp. 102941-102941
Closed Access | Times Cited: 39

LSTM-ReGAT: A network-centric approach for cryptocurrency price trend prediction
Chao Zhong, Wei Du, Wei Xu, et al.
Decision Support Systems (2023) Vol. 169, pp. 113955-113955
Closed Access | Times Cited: 39

Explainable artificial intelligence modeling to forecast bitcoin prices
John W. Goodell, Sami Ben Jabeur, Foued Saâdaoui, et al.
International Review of Financial Analysis (2023) Vol. 88, pp. 102702-102702
Closed Access | Times Cited: 30

Forecasting cryptocurrency returns with machine learning
Yujun Liu, Zhongfei Li, Ramzi Nekhili, et al.
Research in International Business and Finance (2023) Vol. 64, pp. 101905-101905
Closed Access | Times Cited: 25

Models used to characterise blockchain features. A systematic literature review and bibliometric analysis
Juan Jesús Rico-Peña, Raquel Arguedas Sanz, Carmen López-Martín
Technovation (2023) Vol. 123, pp. 102711-102711
Open Access | Times Cited: 24

Cryptocurrency price forecasting – A comparative analysis of ensemble learning and deep learning methods
Ahmed Bouteska, Mohammad Zoynul Abedin, Petr Hájek, et al.
International Review of Financial Analysis (2023) Vol. 92, pp. 103055-103055
Open Access | Times Cited: 23

Ensemble of machine learning algorithms for cryptocurrency investment with different data resampling methods
Tomé Almeida Borges, Rui Neves
Applied Soft Computing (2020) Vol. 90, pp. 106187-106187
Closed Access | Times Cited: 62

Comparative Performance of Machine Learning Ensemble Algorithms for Forecasting Cryptocurrency Prices
Vasily Derbentsev, Vitalina Babenko, Kirill Khrustalev, et al.
International Journal of Engineering (2021) Vol. 34, Iss. 1
Open Access | Times Cited: 54

Dynamic efficiency and arbitrage potential in Bitcoin: A long-memory approach
Kun Duan, Zeming Li, Andrew Urquhart, et al.
International Review of Financial Analysis (2021) Vol. 75, pp. 101725-101725
Open Access | Times Cited: 54

Real estate price estimation in French cities using geocoding and machine learning
Dieudonné Tchuente, Serge Nyawa
Annals of Operations Research (2021) Vol. 308, Iss. 1-2, pp. 571-608
Closed Access | Times Cited: 53

Cryptocurrency volatility forecasting: What can we learn from the first wave of the COVID-19 outbreak?
Zied Ftiti, Waël Louhichi, Hachmi Ben Ameur
Annals of Operations Research (2021) Vol. 330, Iss. 1-2, pp. 665-690
Open Access | Times Cited: 50

Efficiency in cryptocurrency markets: new evidence
Carmen López-Martín, Sonia Benito Muela, Raquel Arguedas Sanz
Eurasian economic review (2021) Vol. 11, Iss. 3, pp. 403-431
Closed Access | Times Cited: 44

Machine Learning-Based Analysis of Cryptocurrency Market Financial Risk Management
Zeinab Shahbazi, Yung-Cheol Byun
IEEE Access (2022) Vol. 10, pp. 37848-37856
Open Access | Times Cited: 37

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